The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariance properties of Gabor filter-based features-overview and applications
IEEE Transactions on Image Processing
Estimation of the orientation of textured patterns via wavelet analysis
Pattern Recognition Letters
Quaternionic spatiotemporal filtering for dense motion field estimation in ultrasound imaging
EURASIP Journal on Advances in Signal Processing
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Blood velocity estimation is required in many clinical applications. Ultrasonic imaging is often used to reach this goal. This article presents a velocity vector estimation method from ultrasonic imaging. It complements Doppler imaging, which has several limitations. New techniques such as block-matching (BM) and decorrelation-based methods have already been developed to overcome these limitations. Our method is based on spatiotemporal filtering to estimate the apparent velocity vector for each pixel of the sequence of ultrasound images. A moving object is represented by a group of pixels travelling from image to image in the sequence, leaving a trace in the spatiotemporal volume. A bank of filters was designed to estimate a local texture orientation related to the velocity of the object. The method was first developed in 2D then extended in 3D to estimate the two components in the imaging plane. The method was applied to sequences of ultrasound images of calibrated flow in a vessel (mean velocity